aboutsummaryrefslogtreecommitdiffhomepage
path: root/tensorflow/core/ops/sendrecv_ops.cc
blob: 51158263c14cdabf83dc5430aaf87dcabe7b5d75 (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
#include "tensorflow/core/framework/op.h"

namespace tensorflow {

REGISTER_OP("_Send")
    .Input("tensor: T")
    .Attr("T: type")
    .Attr("tensor_name: string")
    .Attr("send_device: string")
    .Attr("send_device_incarnation: int")
    .Attr("recv_device: string")
    .Attr("client_terminated: bool = false")
    .Doc(R"doc(
Sends the named tensor from send_device to recv_device.

tensor: The tensor to send.
tensor_name: The name of the tensor to send.
send_device: The name of the device sending the tensor.
send_device_incarnation: The current incarnation of send_device.
recv_device: The name of the device receiving the tensor.
client_terminated: If set to true, this indicates that the node was added
  to the graph as a result of a client-side feed or fetch of Tensor data,
  in which case the corresponding send or recv is expected to be managed
  locally by the caller.
)doc");

REGISTER_OP("_Recv")
    .Output("tensor: tensor_type")
    .Attr("tensor_type: type")
    .Attr("tensor_name: string")
    .Attr("send_device: string")
    .Attr("send_device_incarnation: int")
    .Attr("recv_device: string")
    .Attr("client_terminated: bool = false")
    .Doc(R"doc(
Receives the named tensor from send_device on recv_device.

tensor: The tensor to receive.
tensor_name: The name of the tensor to receive.
send_device: The name of the device sending the tensor.
send_device_incarnation: The current incarnation of send_device.
recv_device: The name of the device receiving the tensor.
client_terminated: If set to true, this indicates that the node was added
  to the graph as a result of a client-side feed or fetch of Tensor data,
  in which case the corresponding send or recv is expected to be managed
  locally by the caller.
)doc");

REGISTER_OP("_HostSend")
    .Input("tensor: T")
    .Attr("T: type")
    .Attr("tensor_name: string")
    .Attr("send_device: string")
    .Attr("send_device_incarnation: int")
    .Attr("recv_device: string")
    .Attr("client_terminated: bool = false")
    .Doc(R"doc(
Sends the named tensor from send_device to recv_device.

_HostSend requires its input on host memory whereas _Send requires its
input on device memory.

tensor: The tensor to send.
tensor_name: The name of the tensor to send.
send_device: The name of the device sending the tensor.
send_device_incarnation: The current incarnation of send_device.
recv_device: The name of the device receiving the tensor.
client_terminated: If set to true, this indicates that the node was added
  to the graph as a result of a client-side feed or fetch of Tensor data,
  in which case the corresponding send or recv is expected to be managed
  locally by the caller.
)doc");

REGISTER_OP("_HostRecv")
    .Output("tensor: tensor_type")
    .Attr("tensor_type: type")
    .Attr("tensor_name: string")
    .Attr("send_device: string")
    .Attr("send_device_incarnation: int")
    .Attr("recv_device: string")
    .Attr("client_terminated: bool = false")
    .Doc(R"doc(
Receives the named tensor from send_device on recv_device.

_HostRecv requires its input on host memory whereas _Recv requires its
input on device memory.

tensor: The tensor to receive.
tensor_name: The name of the tensor to receive.
send_device: The name of the device sending the tensor.
send_device_incarnation: The current incarnation of send_device.
recv_device: The name of the device receiving the tensor.
client_terminated: If set to true, this indicates that the node was added
  to the graph as a result of a client-side feed or fetch of Tensor data,
  in which case the corresponding send or recv is expected to be managed
  locally by the caller.
)doc");

}  // end namespace tensorflow